Artificial Neural Networks and Machine Learning – ICANN 2011, Part 1
Book Details
| Author | Timo Honkela Włodzisław Duch |
|---|---|
| Publisher | Springer |
| Published Year | 2011 |
| Pages | 413 |
| Language | English |
| ISBN-10 | 9783642217340 |
| ISBN-13 | 978-3642217340 |
Artificial Neural Networks and Machine Learning ICANN 2011 Part 1 is a collection of peer-reviewed research papers presented at the 21st International Conference on Artificial Neural Networks. Edited by Timo Honkela and Wlodzislaw Duch, the book focuses on advancements in neural networks, deep learning, and machine learning. It is an ideal reference for researchers and students in the field of artificial intelligence.
Add to Bookmark
Recommended Books For You
An Introduction to Statistical Learning with Applications in R
By : Gareth James • Daniela Witten • Trevor Hastie Robert Tibshirani
Prepare for Interview
- JavaScript Interview Questions for 5+ Years Experience
- JavaScript Interview Questions for 2–5 Years Experience
- JavaScript Interview Questions for 1–2 Years Experience
- JavaScript Interview Questions for 0–1 Year Experience
- JavaScript Interview Questions For Fresher
- SQL Interview Questions for 5+ Years Experience
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
- Dynamic Programming and Recursion in Python
- Trees and Graphs in Python
- Linked Lists, Stacks, and Queues in Python
- Sorting and Searching in Python
- Debugging in Python
- Unit Testing in Python
- Asynchronous Programming in PYthon
Tutorials
Follow us on Linkedin
Random Blogs
- How to Become a Good Data Scientist ?
- Downlaod Youtube Video in Any Format Using Python Pytube Library
- Top 10 Knowledge for Machine Learning & Data Science Students
- Loan Default Prediction Project Using Machine Learning
- How AI is Making Humans Weaker – The Hidden Impact of Artificial Intelligence
- AI is Replacing Search Engines: The Future of Online Search
- String Operations in Python
- Understanding AI, ML, Data Science, and More: A Beginner's Guide to Choosing Your Career Path
- How to Start Your Career as a DevOps Engineer
- Avoiding the Beginner’s Trap: Key Python Fundamentals You Shouldn't Skip
- Data Analytics: The Power of Data-Driven Decision Making
- How AI Companies Are Making Humans Fools and Exploiting Their Data
- Datasets for Natural Language Processing
- Deep Learning (DL): The Core of Modern AI
- The Beginner’s Guide to Normalization and Denormalization in Databases
- Window Functions in SQL – The Ultimate Guide
Datasets for Machine Learning
- Awesome-ChatGPT-Prompts
- Amazon Product Reviews Dataset
- Ozone Level Detection Dataset
- Bank Transaction Fraud Detection
- YouTube Trending Video Dataset (updated daily)
- Covid-19 Case Surveillance Public Use Dataset
- US Election 2020
- Forest Fires Dataset
- Mobile Robots Dataset
- Safety Helmet Detection
- All Space Missions from 1957
- OSIC Pulmonary Fibrosis Progression Dataset
- Wine Quality Dataset
- Google Audio Dataset
- Iris flower dataset